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# Recurrent Neural Networks for Time Series Forecasting: Current status and future directions
2021 International Journal of Forecasting
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Using Google Colab and `nbeats-pytorch==1.3.1`, when setting up the NBeatNet model with the following parameters:
```
net = NBeatsNet(
stack_types=[NBeatsNet.GENERIC_BLOCK, NBea…
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Is there a method to return the backcast for each stack in `nbeats-keras`? I am interested in illustrating the interpretability for a model like in the [n-beats paper](https://arxiv.org/abs/1905.10437…
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The N-beats trend coefficients are calculated a little differently than other implementations,
e.g. in an older repo, https://github.com/philipperemy/n-beats
the forecast coefficents for 5 periods a…
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## Description
Training on the M4 Daily fails on multiple models provided by GluonTS, namely:
- DeepAR
- NBEATS
- Simple Feedforward
- Temporal Fusion Transformer
Funnily, training always …
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When trying to implement notebook "**NBeats-GPU.ipynb**" from examples, at the code cell where the net initialisation is done using,
```
net = NBeatsNet(device=device,
stack_types=(…
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Many problems have a mix of covariate time series which are known and unknown for the future.
For example:
We want to predict the hourly price of energy on the electricity market.
The weather for…
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Message appears on Anaconda console: _ModuleNotFoundError: No module named 'darts_'
**To Reproduce**
- Create a New environment. In my case I used Anaconda Navigator;
- Confirm that the Python ve…
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Thanks for the great repo.
My impression was that n-beats could handle multidimensional input, but when I try to increase the input_dim in the example to a value greater than 1 the code fails. Is …
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- PyTorch-Forecasting version: 0.7.1
- PyTorch version: 1.8.0
- Python version: 3.6.9
- Operating System: Ubuntu 18.04
### Expected behavior
Getting baseline prediction result (using SMAPE) o…